Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children
Machine learning (ML) activity classification models trained on laboratory-based activity trials exhibit low accuracy under free-living conditions. Training new models on free-living accelerometer data, reducing the number of prediction windows comprised of multiple activity types by using shorter w...
Main Authors: | Matthew N. Ahmadi, Toby G. Pavey, Stewart G. Trost |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/16/4364 |
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